Skild AI's robot model evolved via 140 years of self-play in physics simulation
mmurph · x · 2026-09-24
Robotics company Skild AI shared that its model was born in a physics simulation, playing against increasingly tough opponents — each a previous version of itself — for 140 years of simulated time. It's a notable example of using self-play in simulation rather than real-world data to train embodied robot policies.
Related event: Skild AI's Robot Learns Soccer via 140 Years of Simulated Self-Play(13 posts)→
More from Embodied
- Training real hardware, not a digital twin: learning directly in nonlinear wave systems — bravo_abad · 2026-09-24
- Schmidhuber: No AI robot can match a plumber — screen-world AI isn't true intelligence — SchmidhuberAI · 2026-09-24
- The world is the installed base: the underrated case for humanoid robots — r0ck3t23 · 2026-09-24
- GTSAM 4.3 ships with legged navigation, CUDA-accelerated factor graphs and continuous-time trajectory estimation — fdellaert · 2026-09-24
- Workbench open-sources an agentic lab workspace for hardware engineering on the Ambion kernel — andreisavu · 2026-09-24
- Hugging Face Tutorial: Accelerating Robotics Simulation with NVIDIA Warp and MjWarp — Hugging Face Blog · 2026-09-24